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Shubahm Burnwal

@shubahmburnwal

Data Engineer building scalable data pipelines, analytics platforms, and data warehousing solutions with Python and SQL.

India
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What I'm looking for

I’m looking for a role where I can own end-to-end ETL/ELT with Python, SQL, Snowflake and dbt—optimize performance, enforce data quality, and collaborate with analytics teams to deliver GenAI-ready datasets.

I’m a Data Engineer with 3 years of experience building scalable data pipelines, analytics platforms, and data warehousing solutions. I focus on reliable, high-performance data systems with strong expertise in Python, SQL, Snowflake, and dbt.

In my current role, I own end-to-end ETL and ELT pipelines using Python, SQL, Snowflake and dbt, building layered models (RAW → Staging → Marts) to enable structured warehousing. I implement data ingestion, transformation validation, and data quality checks using dbt tests (not null, unique, freshness).

I’m also hands-on with performance optimization—reducing complex SQL execution time by 25% using CTEs and window functions—and workflow orchestration with Airflow (basic DAG creation, retries, logs). I enjoy collaborating with business and analytics teams, and I’ve built Power BI dashboards to support internal reporting insights.

Experience

Work history, roles, and key accomplishments

BI
Current

Backend Python Engineer

Birlasoft

Apr 2023 - Present (3 years 1 month)

Built and maintained end-to-end ETL/ELT pipelines for a GenAI-based SaaS analytics platform using Python, SQL, Snowflake and dbt, including RAW→Staging→Marts data modeling. Optimized complex SQL to reduce execution time by 25% and supported batch/analytics workloads processing 1M+ records per day with Airflow scheduling, validation, and Power BI reporting.

Education

Degrees, certifications, and relevant coursework

FT

Future Institute of Technology

Bachelor of Technology, Electronics and Communication

2018 - 2022

Earned a Bachelor of Technology (BTech) in Electronics and Communication from Future Institute of Technology from 2018 to 2022.

Tech stack

Software and tools used professionally

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